Papers

Peer-reviewed
Sep, 2005

Ultrasmall pulmonary opacities on multidetector-row high-resolution computed tomography - A prospective radiologic-pathologic examination

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
  • H Ishikawa
  • ,
  • N Koizumi
  • ,
  • T Morita
  • ,
  • Y Tani
  • ,
  • M Tsuchida
  • ,
  • H Umezu
  • ,
  • M Naito
  • ,
  • K Sasai

Volume
29
Number
5
First page
621
Last page
625
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1097/01.rct.0000172672.09564.8c
Publisher
LIPPINCOTT WILLIAMS & WILKINS

Objective: To clarify the pathologic findings of ultrasmall pulmonary opacities (5 mm or smaller in diameter) found on multidetector-row high-resolution computed tomography (MD-HRCT).
Methods: Ten lobes in 10 patients were included in this study. Each lobe had a primary lung tumor and was removed surgically. Two thoracic radiologists noted any tiny nonlinear opacity on preoperative MD-HRCT films (1.25-mm thickness) covering the whole lobe. Pathologic findings of detected opacities were evaluated macroscopically and microscopically.
Results: Among 139 ultrasmall opacities 5 mm or smaller in diameter, 94 corresponded to normal anatomic structures (partial volume averaging or motion artifact), 36 corresponded to pathologic abnormalities, and 9 were unidentified. Histologic diagnoses of 36 pathologic abnormalities were inflammatory lesions (n = 16), intrapulmonary lymph nodes (IPLN; n = 7), atypical adenomatous hyperplasia (AAH; n = 7), bronchioloalveolar carcinoma (BAC; n = 5), and another neoplastic lesion (n = 1).
Conclusion: Tiny pulmonary lesions, such as AAHs, BACs, and IPLNs, were identified among ultrasmall opacities found on MD-HRCT.

Link information
DOI
https://doi.org/10.1097/01.rct.0000172672.09564.8c
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/16163031
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000232173300011&DestApp=WOS_CPL
ID information
  • DOI : 10.1097/01.rct.0000172672.09564.8c
  • ISSN : 0363-8715
  • Pubmed ID : 16163031
  • Web of Science ID : WOS:000232173300011

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